Batch generate visuals with Leonardo AI and your AI agents
Swiftask automates your Leonardo AI workflows. Launch the creation of dozens of images at once, without repetitive parameter setup.
Result:
Move from unit creation to industrial production of high-definition visual content.
AI Agents
leonardo ai
Connector leonardo ai · Secure OAuth 2.0
Mass image production slows down your creativity
For marketing or design teams, generating series of images is a challenge. Manually creating each visual in Leonardo AI, adjusting prompts, and downloading results is a time-consuming process that limits production volume.
Main negative impacts:
Creative bottleneck
Time spent manipulating AI tools prevents teams from focusing on visual strategy and art direction.
Visual inconsistency
Manually repeating similar prompts increases the risk of errors and style inconsistencies across large image series.
High operational cost
Human time spent on repetitive generation tasks drastically reduces the ROI of your AI tool investments.
Swiftask orchestrates Leonardo AI to automate your batch generations. Define your guidelines, inject your data, and let Swiftask produce your visual series autonomously.
BEFORE / AFTER
What changes with Swiftask
The manual workflow
A designer needs to create 50 product variants. They open Leonardo AI, copy-paste the prompt 50 times, wait for generation, download each image, and rename them. An entire day is lost on a purely mechanical task.
The Swiftask workflow
You connect a data file to Swiftask. The agent processes each row, sends requests to Leonardo AI, retrieves the images, and stores them directly in your cloud or management tool. Production is completed in minutes.
Automate your Leonardo AI generations in 4 steps
1
STEP 1 : Set up your creative agent
In Swiftask, create an agent dedicated to image generation. Integrate your style guidelines and format constraints.
2
STEP 2 : Link Leonardo AI to your workflow
Use the Swiftask connector to link Leonardo AI. Configure API access to enable automated generation.
3
STEP 3 : Define your data source
Import your list of prompts or product variables. Swiftask will use this data to feed each generation request.
4
STEP 4 : Launch and centralize
Trigger the batch processing. Swiftask handles queues and centralizes all generated images in your workspace.
Advanced features for your visuals
Swiftask analyzes your prompt structure to ensure visual consistency across the entire series, while injecting variables specific to each element.
- Target connector: The agent performs the right actions in leonardo ai based on event context.
- Automated actions: Bulk generation via Leonardo AI API. Queue management to respect rate limits. Automatic renaming and storage of generated assets. Batch completion notification.
- Native governance: You maintain full control over style parameters, models used, and output dimensions for each generation.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-leonardo-ai@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Why choose batch automation?
Immediate scalability
Go from a few images to thousands without increasing your workload.
Artistic uniformity
Automation ensures that every image in your series strictly adheres to your brand guidelines.
Massive time savings
Eliminate copy-paste tasks. Your team finally focuses on value-added creation.
Seamless integration
Connect your results to any marketing tool, CMS, or database via Swiftask.
Security of assets and prompts
Swiftask applies enterprise-grade security standards for your leonardo ai automations.
- Secure API key management: Your Leonardo AI access credentials are encrypted and isolated within your Swiftask environment.
- Prompt privacy: Your generation data remains private and is never shared with third parties.
- Generation traceability: Each generated batch is logged in a full audit trail.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Optimize your production metrics
| Metric | Before | After |
|---|---|---|
| Time to generate 100 images | 8 hours (manual) | 15 minutes (automated) |
| Visual error rate | High (human fatigue) | Zero (programmed execution) |
| Production volume | Limited by human time | Unlimited (based on your quotas) |
Take action with leonardo ai
Move from unit creation to industrial production of high-definition visual content.